Accelerated 3D MERGE carotid imaging using compressed sensing with a hidden Markov tree model.
Accelerated 3D MERGE carotid imaging using compressed sensing with a hidden Markov tree model.
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DOI：
10.1002/jmri.23755
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发表时间：
2012-11
影响因子：
4.4
通讯作者：
Nayak, Krishna S.
中科院分区：
文献类型：
--
作者：
Makhijani, Mahender K.;Balu, Niranjan;Yamada, Kiyofumi;Yuan, Chun;Nayak, Krishna S.
确定使用基于小波的压缩感知（CS）和隐马尔可夫树（HMT）模型加速3D颈动脉磁共振成像（MRI）的可能性。我们回顾性地将基于HMT模型的CS和传统CS应用于6名已知颈动脉狭窄（12条颈动脉）的受试者的3D颈动脉MRI数据（各向同性分辨率为0.7 mm）。我们应用小波树模型从颈动脉图像的训练数据库中学习，以改善CS重建。使用Bland-Altman分析沿着图像质量测量并比较定量终点，如管腔面积、壁面积、平均和最大壁厚度、斑块钙化和坏死核心面积。使用基于HMT模型的CS的速率-4.5加速提供的图像质量与使用传统CS和完全采样参考重建的速率-3加速的图像质量相当。率-4.5 HMT模型为基础的CS重建的形态学测量结果与完全采样的参考图像上的测量结果一致。当将基于4.5 HMT模型的CS与完全采样的参考图像进行比较时，测量值的平均值和差异之间没有显著偏倚或相关性。基于HMT模型的CS可能用于将临床颈动脉MRI加速4.5倍，而不会影响诊断质量或定量终点。
To determine the potential for accelerated 3D carotid magnetic resonance imaging (MRI) using wavelet based compressed sensing (CS) with a hidden Markov tree (HMT) model. We retrospectively applied HMT model-based CS and conventional CS to 3D carotid MRI data with 0.7 mm isotropic resolution, from six subjects with known carotid stenosis (12 carotids). We applied a wavelet-tree model learnt from a training database of carotid images to improve CS reconstruction. Quantitative endpoints such as lumen area, wall area, mean and maximum wall thickness, plaque calicification, and necrotic core area, were measured and compared using Bland-Altman analysis along with image quality. Rate-4.5 acceleration with HMT model-based CS provided image quality comparable to that of rate-3 acceleration with conventional CS and fully sampled reference reconstructions. Morphological measurements made on rate-4.5 HMT model-based CS reconstructions were in good agreement with measurements made on fully sampled reference images. There was no significant bias or correlation between mean and difference of measurements when comparing rate 4.5 HMT model-based CS with fully sampled reference images. HMT model-based CS can potentially be used to accelerate clinical carotid MRI by a factor of 4.5 without impacting diagnostic quality or quantitative endpoints.
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影响因子：
2.5
作者：
Needell, D.;Tropp, J. A.
通讯作者：
Tropp, J. A.
DOI：
10.1161/01.atv.19.11.2756
发表时间：
1999-11-01
影响因子：
8.7
作者：
Shinnar, M;Fallon, JT;Fuster, V
通讯作者：
Fuster, V
影响因子：
10.6
作者：
Romberg, JK;Choi, H;Baraniuk, RG
通讯作者：
Baraniuk, RG
影响因子：
4.4
作者：
Itskovich, VV;Mani, V;Fayad, ZA
通讯作者：
Fayad, ZA
影响因子：
4.4
作者：
Crowe, LA;Gatehouse, P;Firmin, DN
通讯作者：
Firmin, DN